This course will cover the foundations of probability, random variables and statistics, with a plethora of examples from electrical engineering, computer engineering, computer science, and everyday life. The course content can broadly be divided into three categories: – Fundamentals of probability, Common probability models, Inferences & statistics (less emphasis) At a more technical level students will become 1) Familiar with basic and common probability distributions.
2) Learn how to use conditioning to simplify the analysis of complicated models. 3) Have facility manipulating probability mass functions, densities, and expectations.
4) Develop a solid understanding of the concept of conditional expectation and its role in inference.
